Principle and Implementation of Discrete Fracture Network Modeling Controlled by Fracture Density
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    Abstract:

    Objectives:Distribution of fracture is crucial for the development of tight reservoir. Discrete fracture network modeling is the commonest method for fracture modeling. During the oil and gas reservoir exploration and development, many types of data (such as seismic, logging and core) can be obtained to calculate the fracture density as the constraint condition of discrete fracture network modeling. How to make good use of these constraints is important for making an effective fracture model. So a method of discrete fracture network fracture constrained by fracture density is introduced.Methods: Based on discrete fracture network modeling using marked point process, the proposed method tries to improve the fracture position determination algorithm. The implementation is revising the pointing process controlled by fracture density. The fracture density constraint in this paper is obtained by sequential Gaussian simulation using logging data and the stress field numerical model. This paper introduces the implementation of the method in 2D and 3D from the respect of programming implementation. In the meanwhile, the applicability of the method and parameters setting of the method are discussed, too.Results:In order to verify the efficiency of the method, the case study chooses a practical well block near Yanhe profile to implement fracture modeling. The results show that the fracture model is in good agreement with the actual production data.Conclusions:From the result that the fracture model built by the proposed method agreed with the actual production data, the conclusion is drawn that the proposed method is suitable for fracture modeling in the tight reservoir.

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DONG Shaoqun, ZENG Lianbo, CAO Han, XU Chaoshui, WANG Shengjiao.2018. Principle and Implementation of Discrete Fracture Network Modeling Controlled by Fracture Density[J]. Geological Review,64(5):1302-1314.

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History
  • Received:January 19,2018
  • Revised:May 14,2018
  • Adopted:
  • Online: September 14,2018
  • Published: